Earlier quoted context omitted.
+1 on banana.dev, I used it for a side project and deployed some custom code and it was a good experience! I liked the pricing model (lack of minimums and pay for usage instead of a "plan") and how you can package up whatever code you want.
Kind of funny how cellphones went the opposite way - we all hated "paying for usage (minutes/txts))" and now we want just the Plan.
Ask HN: What do you use for ML Hosting?
31–40 of 69 posts
Re: Ask HN: What do you use for ML Hosting?
#32Re: Ask HN: What do you use for ML Hosting?
#33This is exactly what you’re looking for
Re: Ask HN: What do you use for ML Hosting?
#34Re: Ask HN: What do you use for ML Hosting?
#35Re: Ask HN: What do you use for ML Hosting?
#36My preference is not to have to change my code to use some special framework, and just get access to a gpu machine I can run my stuff on. I'm assuming you know what you need for a GPU. If you're unsure, consider trying to run inferences on a CPU and see how long it takes and if it could work. And then just look at price and reliability for a gpu machine with the different cloud providers. Ovh is cheap but the only th…
Modal eng here. Modal is not setup as a framework. Think of more as Python-defined serverless infrastructure that has native support for the Python runtime. This is in some places called "Infrastructure from code", as opposed to "Infrastructure as code" which means just source-controlling K8s YAML and Cloudformation.
A major benefit of this approach is that the cloud becomes part of your dev loop, as opposed to doing `docker build`, `docker push`, `kubectl`, etc just to ship a change to a GPU.
In the script I posted Modal APIs are mixed in with standard Python code for brevity, but many customers just keep their code in their own modules and have a `modal_infra.py` module that defines the serverless infrastructure.
Re: Ask HN: What do you use for ML Hosting?
#37My preference is not to have to change my code to use some special framework, and just get access to a gpu machine I can run my stuff on. I'm assuming you know what you need for a GPU. If you're unsure, consider trying to run inferences on a CPU and see how long it takes and if it could work. And then just look at price and reliability for a gpu machine with the different cloud providers. Ovh is cheap but the only th…
> are worth avoiding so you don't get stuck with somebody else's framework. Modal eng here. Modal is not setup as a framework. Think of more as Python-defined serverless infrastructure that has native support for the Python runtime. This is in some places called "Infrastructure from code", as opposed to "Infrastructure as code" which means just source-controlling K8s YAML and Cloudformation. A major benefit of this a…
Re: Ask HN: What do you use for ML Hosting?
#38Re: Ask HN: What do you use for ML Hosting?
#39My preference is not to have to change my code to use some special framework, and just get access to a gpu machine I can run my stuff on. I'm assuming you know what you need for a GPU. If you're unsure, consider trying to run inferences on a CPU and see how long it takes and if it could work. And then just look at price and reliability for a gpu machine with the different cloud providers. Ovh is cheap but the only th…